0 years

1 - 6 Lacs

Posted:20 hours ago| Platform: GlassDoor logo

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Job Type

Part Time

Job Description

An AI/ML Trainer is responsible for developing training data, evaluating model performance, refining algorithms, and delivering technical training to candidates, requiring skills in Python, data science, cloud platforms (AWS/Azure), and strong communication to ensure AI systems are accurate, unbiased, and effective for business goals. Key requirements include a relevant degree, experience with AI tools, and a knack for teaching and technical problem-solving.

Job Title: AI/ML Trainer / Master Trainer (AI & ML)

Key Responsibilities:

  • Data Curation & Annotation: Develop, label, and structure large datasets for training ML models, ensuring quality and relevance.
  • Model Training & Evaluation: Teach AI systems, test model outputs, identify errors, and re-annotate data to improve accuracy and reduce bias.
  • Content Development: Create and deliver technical training programs, course materials, and toolkits on AI/ML concepts for various audiences (students, clients).
  • Performance Monitoring: Continuously assess AI system effectiveness and optimize training methods for efficiency.
  • Collaboration: Work with data scientists, engineers, and product managers to refine AI functionalities.

Required Skills & Qualifications:

  • Education: Bachelor's or Master's degree in Computer Science, IT, Data Science, or related fields.
  • Technical Skills: Proficiency in Python, AI/ML tools, data analysis, and familiarity with cloud platforms (AWS, Azure).
  • Experience: Proven experience in AI/ML, data science, or technical training.
  • Soft Skills: Excellent client-facing communication, presentation, and analytical skills; ability to explain complex concepts.

What Makes a Good AI Trainer?:

  • Deep technical knowledge combined with strong analytical and teaching abilities.
  • An entrepreneurial mindset and commitment to ethical AI practices.

Typical Work Environment:

  • Can involve client-facing roles, working with academic institutions, or internal training teams.
  • May require travel to client sites or conferences

Job Type: Part-time

Pay: ₹240,000.00 - ₹1,500,000.00 per year

Expected hours: 10 – 20 per week

Benefits:

  • Leave encashment
  • Paid time off

Work Location: In person

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